INTAMAP: The design and implementation of an interoperable automated interpolation web service

Authors:
Edzer Pebesma;Dan Cornford;Gregoire Dubois;Gerard B. M. Heuvelink;Dionisis Hristopulos;Jürgen Pilz;Ulrich Stöhlker;Gary Morin;Jon O. Skøien
Affiliations:
Institute for Geoinformatics, University of Münster Weseler Strasse 253, 48151 Münster, Germany;NCRG, Engineering and Applied Science, Aston University, United Kingdom;Joint Research Centre of the European Commission, Belgium;Wageningen University, The Netherlands;Technical University of Crete, Greece;University of Klagenfurt, Austria;Bundesamt fur Strahlenschutz, Germany;Keynetix Systems, United Kingdom;Department of Physical Geography, Utrecht University, The Netherlands
Venue:
Computers & Geosciences
Year:
2011

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Abstract

INTAMAP is a Web Processing Service for the automatic spatial interpolation of measured point data. Requirements were (i) using open standards for spatial data such as developed in the context of the Open Geospatial Consortium (OGC), (ii) using a suitable environment for statistical modelling and computation, and (iii) producing an integrated, open source solution. The system couples an open-source Web Processing Service (developed by 52^oNorth), accepting data in the form of standardised XML documents (conforming to the OGC Observations and Measurements standard) with a computing back-end realised in the R statistical environment. The probability distribution of interpolation errors is encoded with UncertML, a markup language designed to encode uncertain data. Automatic interpolation needs to be useful for a wide range of applications and the algorithms have been designed to cope with anisotropy, extreme values, and data with known error distributions. Besides a fully automatic mode, the system can be used with different levels of user control over the interpolation process.